Chapter
Apr 26, 2012
Empirical Studies on the Fuzzy Comprehensive Evaluation to the Performance of Reverse Logistics System Based on the Fuzzy AHP Model
Publication: ICLEM 2010: Logistics For Sustained Economic Development: Infrastructure, Information, Integration
Abstract
In this paper, we established a more comprehensive performance evaluation system of reverse logistics which contains multiple indices such as economic effect, environmental effect, social effect, technical strength, the levels of information, as well as the rates of resource utilization. We used the triangular fuzzy number and fuzzy AHP model to determine the weight of each index, and the fuzzy comprehensive evaluation model as the tool to calculate the score, and then studied empirically on the reverse logistics system of enterprises. The result shows the synthetic score of reverse logistics system and indicates that the enterprises lay special emphasis on different indices. They both provide the basis for improving the logistics performance and management of the enterprise.
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Information
Published In
ICLEM 2010: Logistics For Sustained Economic Development: Infrastructure, Information, Integration
Pages: 3444 - 3450
Copyright
© 2010 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Artificial intelligence and machine learning
- Business management
- Case studies
- Computer programming
- Computing in civil engineering
- Decision making
- Decision support systems
- Economic factors
- Engineering fundamentals
- Freight transportation
- Fuzzy logic
- Infrastructure
- Logistics
- Methodology (by type)
- Models (by type)
- Optimization models
- Practice and Profession
- Research methods (by type)
- Social factors
- Transportation engineering
Authors
Affiliations
School of Economy and Management, Nanchang University, P.R.China, 330031.E-mail: [email protected]
School of Economy and Management, Nanchang University, P.R.China, 330031.E-mail: [email protected]
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